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Published on 31 December 2022 |

Version v1.0

Simultaneous profiling of histone modifications and DNA methylation via nanopore sequencing

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Yin, Yimeng;Zhiyuan Xie;Yue, Xue

Description

Datasets that contain a minimum of nanopore reads sufficient for hidden Markov model training and for evaluating the performance of our computational tool - nanoHiMe at simultaneously calling CpG and/or adenine methylation on individual nanopore reads. Ecoli_PCR_amplicons_100k.tgz, Ecoli_PCR_MSssI_100k.tar.gz and Ecoli_PCR_pA-Hia5_100k.tar.gz are used for training new parameters of the emission distributions of individual k-mers from DNA template without modification, with fully methylated CpGs, and with partially methylated adenines, respectively. nanoHiMe_H3K27me3.fast5.tgz are the nanopore sequencing reads from H3K27me3 nanoHiMe-seq experiments in GM12878 cells and used for evaluating the performance of nanoHiMe at jointly calling CpG and adenine methylation.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.3

FAIR Score

13%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Zenodo

Assigned Domain

Subfield

Biomedical Engineering

Field

Engineering

Domain

Physical Sciences

Confidence Score

98%

Source

Open Alex

Keywords

nanopore sequencinghistone modificationsCpG methylation

Normalization Factors

FT

15.38

CTw

1.00

MTw

1.00